Robert Helewka
ee8436d5b8
Add complete Nike football data platform with: - FastMCP server exposing football data tools over HTTP - RapidAPI client for free-api-live-football-data integration - Bootstrap web dashboard with live match/standings views - REST API endpoints for dashboard consumption - Docker support with multi-stage build - Comprehensive README with architecture docs - Minimal .gitignore replacing verbose Python template
72 lines
1.9 KiB
Python
72 lines
1.9 KiB
Python
#!/usr/bin/env python3
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"""Quick verification of Nike DB contents."""
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import os
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from dotenv import load_dotenv
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import psycopg2
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load_dotenv('/home/robert/gitea/nike/.env')
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conn = psycopg2.connect(
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host=os.getenv('DB_HOST'),
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port=int(os.getenv('DB_PORT', 5432)),
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user=os.getenv('DB_USER'),
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password=os.getenv('DB_PASSWORD'),
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dbname='nike',
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)
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cur = conn.cursor()
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tables = [
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'leagues', 'teams', 'players', 'fixtures', 'standings',
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'match_stats', 'match_events', 'player_season_stats',
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'player_match_stats', 'followed_entities',
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]
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print("Nike DB Contents")
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print("-" * 40)
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for table in tables:
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cur.execute(f"SELECT COUNT(*) FROM {table}")
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count = cur.fetchone()[0]
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status = "✅" if count > 0 else "•"
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print(f" {status} {table:<28} {count:>6} rows")
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# TFC summary
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print()
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cur.execute("""
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SELECT t.name, COUNT(p.id) AS players
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FROM teams t
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LEFT JOIN players p ON p.current_team_id = t.id
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WHERE t.is_followed = TRUE
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GROUP BY t.name
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""")
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for row in cur.fetchall():
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print(f" ⚽ {row[0]}: {row[1]} players in roster")
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cur.execute("""
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SELECT COUNT(*) FROM fixtures f
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JOIN teams t ON (t.id = f.home_team_id OR t.id = f.away_team_id)
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WHERE t.is_followed = TRUE
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""")
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fix_count = cur.fetchone()[0]
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print(f" 📅 Followed team fixtures: {fix_count}")
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cur.execute("""
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SELECT match_date::date, home.name, away.name, home_goals, away_goals, status
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FROM fixtures f
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JOIN teams home ON home.id = f.home_team_id
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JOIN teams away ON away.id = f.away_team_id
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JOIN teams ft ON (ft.id = f.home_team_id OR ft.id = f.away_team_id)
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WHERE ft.is_followed = TRUE AND f.match_date >= NOW()
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ORDER BY f.match_date ASC
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LIMIT 3
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""")
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upcoming = cur.fetchall()
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if upcoming:
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print()
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print(" Next fixtures:")
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for row in upcoming:
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print(f" {row[0]} {row[1]} vs {row[2]} ({row[5]})")
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cur.close()
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conn.close()
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